Kenta Wada

759 citations
24 papers · 523 · h-index 10

Impact in

  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Virus-based gene therapy research

Papers in

    • Connexins and lens biology 6
    • Pluripotent Stem Cells Research 3
    • CRISPR and Genetic Engineering 3
    • Animal Genetics and Reproduction 4
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 4

Kenta Wada

24 papers receiving 516 citations

Peers

Kenta Wada
Comparison fields: 5 of 75
  • Aging 17
  • Genetics 188
  • Molecular Biology 376
  • Business and International Management 11
  • Sensory Systems 22
Replace Yanru Chen-Tsai with:
Yanru Chen-Tsai United States
Jichao Deng China
Ji‐Neng Lv China
Ya Guo China
Ana Vasileva United States
Almudena Fernández Spain
Bénédicte Franco Belgium
Karen Fitch United States
Julianne Rieders United States
Soeren Turan Germany
Kenta Wada relative to Yanru Chen-Tsai United States Yanru Chen-Tsai's profile →
Citations per field
00.5×3.7×
Yanru Chen-Tsai · 1×
Citations per year

Countries citing papers authored by Kenta Wada

Since Specialization
Citations

This map shows the geographic impact of Kenta Wada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenta Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenta Wada more than expected).

Fields of papers citing papers by Kenta Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenta Wada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenta Wada. The network helps show where Kenta Wada may publish in the future.

Co-authors

The 25 scholars most cited alongside Kenta Wada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenta Wada Line = papers co-authored together Kenta Wada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018135
2 201595
3 201089
4 200637
5 201627
6 202023
7 201422
8 201215
9 201113
10 20179
11 20119
12 20208
13 20207
14 20225
15 20175
16 20114
17 20184
18 20193
19 20223
20 20193

About Kenta Wada

Kenta Wada is a scholar working on Molecular Biology, Genetics, Cell Biology, Animal Science and Zoology and Nutrition and Dietetics, having authored 24 papers that have together received 523 indexed citations. Recurring topics across this work include Connexins and lens biology (6 papers), Animal Genetics and Reproduction (4 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Pluripotent Stem Cells Research (3 papers), Animal Nutrition and Physiology (3 papers), CRISPR and Genetic Engineering (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). The work is most often cited by research in Aging (17 citations), Genetics (188 citations), Molecular Biology (376 citations), Business and International Management (11 citations) and Sensory Systems (22 citations). Kenta Wada has collaborated with scholars based in Japan and United States. Frequent co-authors include Masahiro Sato, Masato Ohtsuka, Channabasavaiah B. Gurumurthy, Hiromi Miura, Gou Takahashi, Shingo Nakamura, Shuji Takabayashi, Makoto Matsuyama, Takayuki Koyano and Fumitoshi Onoda. Their work appears in journals such as PLoS ONE, Scientific Reports, EXPERIMENTAL ANIMALS, Poultry Science and Biochemical and Biophysical Research Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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